Automatic glaucoma detection based on transfer induced attention network.

Journal: Biomedical engineering online
Published Date: Apr 23, 2021

Abstract

BACKGROUND: Glaucoma is one of the causes that leads to irreversible vision loss. Automatic glaucoma detection based on fundus images has been widely studied in recent years. However, existing methods mainly depend on a considerable amount of labeled data to train the model, which is a serious constraint for real-world glaucoma detection.

Authors

  • Xi Xu
    School of Medicine, Yangtze University, Jingzhou 434000, China.
  • Yu Guan
  • Jianqiang Li
    School of Software Engineering, Beijing University of Technology, Beijing, China. Electronic address: lijianqiang@bjut.edu.cn.
  • Zerui Ma
    Faculty of Information Technology, Beijing University of Technology, Beijing, China.
  • Li Zhang
    Department of Animal Nutrition and Feed Science, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
  • Li Li
    Department of Gastric Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.

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